Healthcare · Medical devices
Currently tracking 19 active AI roles, up 20% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $110k–$240k (avg $179k).
GE Healthcare currently has 26 active job listings related to artificial intelligence. The majority of these roles, 50%, are focused on agents, with application roles making up another 23%. The company is primarily hiring for Engineering positions, with 18 listings in this function, and is recruiting in India and the United States. Frequent technology tags include agent_orchestration, fine_tuning, and rag. Over the last 30 days, GE Healthcare has posted 20 new AI roles, an 82% increase compared to the previous 30-day period.
GE Healthcare currently has 28 active AI-related roles in our index. The most common open titles are: AI Scientist (2), Principal AI Architect (2), Staff AI Scientist (2), AI Algorithm and Development Software Engineer, AI Regulatory Engineer. Most positions are in Engineering and Research.
GE Healthcare's active AI hiring is concentrated in: agents (46%), application (21%), data (11%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
GE Healthcare is hiring AI talent in: India (11 roles), United States (6 roles), China (5 roles), Israel (2 roles).
Job postings at GE Healthcare most frequently reference: fine tuning, agent orchestration, model serving, rag, multimodal.
In the past 30 days, GE Healthcare has posted 18 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| AI Scientist AI Scientist at GE Healthcare focused on foundational AI models, generative AI, large-scale pretraining, prompt tuning, distillation, robustness, responsible AI, and quantization for healthcare applications. The role involves developing and implementing novel ML algorithms for LLMs to automate clinical tasks using EMR, waveforms, and clinical reports, demonstrating algorithms, exploring human feedback, building prototypes, and working with large-scale datasets. Requires a Master's or PhD with relevant research experience, publications in LLM/Agentic AI/SSL, and expertise in building large-scale generative AI models. | PretrainPost-train | 9 |
| AI Scientist GE Healthcare is seeking a Senior Staff AI Scientist to work on foundational AI models, focusing on generative AI problems like large-scale pretraining, prompt tuning, distillation, robustness, responsible AI, and quantization. The role involves developing and implementing novel machine learning algorithms for LLMs to automate clinical tasks using EMR, waveforms, and clinical reports, demonstrating algorithms, exploring human feedback, building prototypes, and working with large-scale datasets. Requires a Master's or Ph.D. in a STEM field with relevant research experience, publications as first author on LLM, Agentic AI, or SSL, and demonstrated expertise in building large-scale AI models. |
| PretrainPost-train |
| 9 |